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Large Vocabulary Speech Recognition of Slovenian Language Using Data-Driven Morphological Models

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Text, Speech and Dialogue (TSD 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2448))

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Abstract

A system for large vocabulary continuous speech recognition of the Slovenian language is described. Two types of modelling units are examined: words and subwords. A data-driven algorithm is used to automatically obtain word decompositions. The performances of one-pass and two-pass decoding strategies were compared. The new models gave promising results. Recognition accuracy was improved by 3.41% absolute at approx. the same recognition time. On the other hand we achieved 30% increase in real time performance at the same recognition error.

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References

  1. Kačič, Z., Horvat, B., Zögling, A.: Isues in design and collection of large telephone speech corpus for Slovenian language, LREC 2000.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova 17, 2000, Maribor, Slovenia

    Tomaž Rotovnik, Mirjam Sepesy Maučec, Bogomir Horvat & Zdravko Kačič

Authors
  1. Tomaž Rotovnik
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  2. Mirjam Sepesy Maučec
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  3. Bogomir Horvat
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  4. Zdravko Kačič
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Editor information

Editors and Affiliations

  1. Faculty of Informatics Department of Programming Systems and Communication, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Petr Sojka

  2. Faculty of Informatics Department of Information Technologies, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Ivan Kopeček  & Karel Pala  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Rotovnik, T., Maučec, M.S., Horvat, B., Kačič, Z. (2002). Large Vocabulary Speech Recognition of Slovenian Language Using Data-Driven Morphological Models. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_46

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  • DOI: https://doi.org/10.1007/3-540-46154-X_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44129-8

  • Online ISBN: 978-3-540-46154-8

  • eBook Packages: Springer Book Archive

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